Artificial intelligence-based radiogenomics reveals the potential immunoregulatory role of COL22A1 in glioma and its induced autoimmune encephalitis.

IF 5.9 2区 医学 Q1 IMMUNOLOGY Frontiers in Immunology Pub Date : 2025-03-06 eCollection Date: 2025-01-01 DOI:10.3389/fimmu.2025.1562070
Bingchao Yan, Qian Chen, Dacheng Wang, Leili Ding, Jingfeng Qu, Renfei Du, Wenjie Shi, Ulf D Kahlert, Zhengquan Yu
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Abstract

Background: The tumor microenvironment plays a crucial role in the progression of both glioma and glioma-induced autoimmune encephalitis. However, there remains a significant lack of effective therapeutic targets for these diseases.

Method: We collected 54 CT images of glioma patients and 54 glioma-induced autoimmune encephalitis patients, respectively. Radiomics features were extracted from tumors and encephalitis regions using Python, followed by dimensionality reduction via random forest and lasso regression, and construction of radiomics-based risk scores. Genomic data matched with clinical information were analyzed to identify key prognostic genes significantly associated with risk scores. Gene expression was validated by immunohistochemistry using our clinical samples. Immune infiltration was evaluated using five algorithms (MCP-counter, EPIC, TIMER, QUANT and IPS). The association between hub genes and immune checkpoint markers as well as immunoregulation-related genes was also analyzed using Spearman correlation.

Results: We identified 980 radiomics features both in glioma and encephalitis patient images and selected four key features through lasso regression to build a radiomics-based risk score. COL22A1 was strongly correlated with the risk score and identified as the hub prognostic gene. COL22A1 expression was higher in glioblastoma tissues and cell lines, and correlated with clinical factors such as higher age, WHO grade, and IDH mutation status. Immune infiltration analysis indicated associations with diverse immune and stromal cell populations, including CD8+T cells, macrophages, and CAFs. COL22A1 was also positively correlated with immune checkpoints and immune-regulated genes.

Conclusion: Our study highlights the critical role of COL22A1 in gliomas and glioma-Induced Autoimmune Encephalitis, demonstrating its strong association with poor prognosis and its significant involvement in tumor immune regulation.

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基于人工智能的放射基因组学揭示了COL22A1在胶质瘤及其诱导的自身免疫性脑炎中的潜在免疫调节作用。
背景:肿瘤微环境在胶质瘤和胶质瘤诱导的自身免疫性脑炎的进展中起着至关重要的作用。然而,这些疾病仍然缺乏有效的治疗靶点。方法:收集胶质瘤患者和胶质瘤性自身免疫性脑炎患者各54例的CT图像。使用Python从肿瘤和脑炎区域提取放射组学特征,然后通过随机森林和套索回归进行降维,并构建基于放射组学的风险评分。分析基因组数据与临床信息相匹配,以确定与风险评分显著相关的关键预后基因。利用我们的临床样本通过免疫组织化学验证基因表达。免疫浸润评估采用5种算法(MCP-counter、EPIC、TIMER、QUANT和IPS)。中心基因与免疫检查点标记物以及免疫调节相关基因之间的关联也采用Spearman相关分析。结果:我们确定了胶质瘤和脑炎患者图像中的980个放射组学特征,并通过lasso回归选择了四个关键特征,建立了基于放射组学的风险评分。COL22A1与风险评分密切相关,被认为是枢纽预后基因。COL22A1在胶质母细胞瘤组织和细胞系中表达较高,且与年龄较大、WHO分级、IDH突变状态等临床因素相关。免疫浸润分析显示与多种免疫和基质细胞群相关,包括CD8+T细胞、巨噬细胞和CAFs。COL22A1也与免疫检查点和免疫调节基因呈正相关。结论:我们的研究强调了COL22A1在胶质瘤和胶质瘤诱导的自身免疫性脑炎中的关键作用,表明其与不良预后密切相关,并参与肿瘤免疫调节。
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来源期刊
CiteScore
9.80
自引率
11.00%
发文量
7153
审稿时长
14 weeks
期刊介绍: Frontiers in Immunology is a leading journal in its field, publishing rigorously peer-reviewed research across basic, translational and clinical immunology. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. Frontiers in Immunology is the official Journal of the International Union of Immunological Societies (IUIS). Encompassing the entire field of Immunology, this journal welcomes papers that investigate basic mechanisms of immune system development and function, with a particular emphasis given to the description of the clinical and immunological phenotype of human immune disorders, and on the definition of their molecular basis.
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